Predictor Identifier: Nonparametric Prediction R package NPRED version 1.1.0 CRAN Task View: Hydrology (https://CRAN.R-project.org/view=Hydrology) Partial informational correlation (PIC) is used to identify the meaningful predictors to the response from a large set of potential predictors. Details of methodologies used in the package can be found in Sharma, A., Mehrotra, R. (2014). <doi:10.1002/2013WR013845>, Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). <doi:10.1016/j.envsoft.2016.05.021>, and Mehrotra, R., & Sharma, A. (2006). <doi:10.1016/j.advwatres.2005.08.007>. Software Depends: R (>= 3.4.0) Imports: stats Suggests: zoo, SPEI, WASP, knitr, ggplot2, synthesis, testthat, bookdown, rmarkdown Ze Jiang <ze.jiang@unsw.edu.au> Comprehensive R Archive Network (CRAN) Ashish Sharma [aut] (ORCID: <https://orcid.org/0000-0002-6758-0519>), Raj Mehrotra [aut], Sanjeev Jha [aut], Jingwan Li [aut], Ze Jiang [aut, cre] (ORCID: <https://orcid.org/0000-0002-3472-0829>) GPL-3 2024-07-25 application/tgz https://CRAN.R-project.org/package=NPRED doi:10.32614/CRAN.package.NPRED